Volume 10 Issue 3 • July 2006
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Table of contents
Publication Year: 2006, Page(s):c1 - c4|
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IEEE Transactions on Information Technology in Biomedicine publication information
Publication Year: 2006, Page(s): c2|
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Guest Editorial Introduction to the Special Section on Mining Biomedical Data
Publication Year: 2006, Page(s):425 - 428
Cited by: Papers (1)Research in data mining, also known as knowledge discovery in databases, aims at developing intelligent tools to automatically search large volumes of data for patterns. Biomedicine is a data-intensive field that forms one of the most important application domains in data mining and knowledge discovery. This special section contains 15 extended papers, focusing on mining of biomedical data, presen... View full abstract»
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Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications
Publication Year: 2006, Page(s):429 - 439
Cited by: Papers (32)In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of longer time series that are maximally different to all the rest of the time series subsequences. They thus capture the sense of the most unusual subsequence within a time series. While discords have many uses for data mining, they are particularly attractive as anomaly detectors bec... View full abstract»
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Mining Statistically Significant Associations for Exploratory Analysis of Human Sleep Data
Publication Year: 2006, Page(s):440 - 450
Cited by: Papers (9)We introduce a specialized association rule mining technique that can extract patterns from complex sleep data comprising polysomnographic recordings, clinical summaries, and sleep questionnaire responses. The rules mined can describe associations among temporally annotated events and questionnaire or summary data; e.g., the likelihood that an occurrence of a rapid eye movement (REM) sleep stage d... View full abstract»
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EEG Transient Event Detection and Classification Using Association Rules
Publication Year: 2006, Page(s):451 - 457
Cited by: Papers (33)In this paper, a methodology for the automated detection and classification of transient events in electroencephalographic (EEG) recordings is presented. It is based on association rule mining and classifies transient events into four categories: epileptic spikes, muscle activity, eye blinking activity, and sharp alpha activity. The methodology involves four stages: 1) transient event detection; 2... View full abstract»
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Combining Wavelet Analysis and Bayesian Networks for the Classification of Auditory Brainstem Response
Publication Year: 2006, Page(s):458 - 467
Cited by: Papers (23)The auditory brainstem response (ABR) has become a routine clinical tool for hearing and neurological assessment. In order to pick out the ABR from the background EEG activity that obscures it, stimulus-synchronized averaging of many repeated trials is necessary, typically requiring up to 2000 repetitions. This number of repetitions can be very difficult, time consuming and uncomfortable for some ... View full abstract»
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Combining Algorithms in Automatic Detection of QRS Complexes in ECG Signals
Publication Year: 2006, Page(s):468 - 475
Cited by: Papers (48)QRS complex and specifically R-Peak detection is the crucial first step in every automatic electrocardiogram analysis. Much work has been carried out in this field, using various methods ranging from filtering and threshold methods, through wavelet methods, to neural networks and others. Performance is generally good, but each method has situations where it fails. In this paper, we suggest an appr... View full abstract»
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Diagnosing Old MI by Searching for a Linear Boundary in the Space of Principal Components
Publication Year: 2006, Page(s):476 - 483
Cited by: Papers (3)Body surface potential mapping (BSPM) is a technique employing multiple electrodes to capture, via noninvasive means, an indication of the heart's condition. An inherent problem with this technique is the resulting high-dimensional recordings and the subsequent problems for diagnostic classifiers. A data set, recorded from a 192-lead BSPM system, containing 74 records is investigated. QRS isointeg... View full abstract»
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MR Imaging and Osteoporosis: Fractal Lacunarity Analysis of Trabecular Bone
Publication Year: 2006, Page(s):484 - 489
Cited by: Papers (22) | Patents (3)We develop a method of magnetic resonance (MR) image analysis able to provide parameter(s) sensitive to bone microarchitecture changes in aging, and to osteoporosis onset and progression. The method has been built taking into account fractal properties of many anatomic and physiologic structures. Fractal lacunarity analysis has been used to determine relevant parameter(s) to differentiate among th... View full abstract»
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Radio Frequency Ablation Registration, Segmentation, and Fusion Tool
Publication Year: 2006, Page(s):490 - 496
Cited by: Papers (11) | Patents (3)The radio frequency ablation segmentation tool (RFAST) is a software application developed using the National Institutes of Health's medical image processing analysis and visualization (MIPAV) API for the specific purpose of assisting physicians in the planning of radio frequency ablation (RFA) procedures. The RFAST application sequentially leads the physician through the steps necessary to regist... View full abstract»
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Co-Occurrence Analysis for Discovery of Novel Breast Cancer Pathology Patterns
Publication Year: 2006, Page(s):497 - 503
Cited by: Papers (6)To discover novel patterns in pathology co-occurrence, we have developed algorithms to analyze and visualize pathology co-occurrence. With access to a database of pathology reports, collected under a single protocol and reviewed by a single pathologist, we can conduct an analysis greater in its scope than previous studies looking at breast pathology co-occurrence. Because this data set is unique, ... View full abstract»
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Feature Subset Selection for Improving the Performance of False Positive Reduction in Lung Nodule CAD
Publication Year: 2006, Page(s):504 - 511
Cited by: Papers (35) | Patents (5)We propose a feature subset selection method based on genetic algorithms to improve the performance of false positive reduction in lung nodule computer-aided detection (CAD). It is coupled with a classifier based on support vector machines. The proposed approach determines automatically the optimal size of the feature set, and chooses the most relevant features from a feature pool. Its performance... View full abstract»
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A Model-Based Approach to the Analysis of Patterns of Length of Stay in Institutional Long-Term Care
Publication Year: 2006, Page(s):512 - 518
Cited by: Papers (26)Understanding the pattern of length of stay in institutional long-term care has important practical implications in the management of long-term care. Furthermore, residents' attributes are believed to have significant effects on these patterns. In this paper, we present a model-based approach to extract, from a routinely gathered administrative social care dataset, high-level length-of-stay patter... View full abstract»
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Application of Simulated Annealing to the Biclustering of Gene Expression Data
Publication Year: 2006, Page(s):519 - 525
Cited by: Papers (42)In a gene expression data matrix, a bicluster is a submatrix of genes and conditions that exhibits a high correlation of expression activity across both rows and columns. The problem of locating the most significant bicluster has been shown to be NP-complete. Heuristic approaches such as Cheng and Church's greedy node deletion algorithm have been previously employed. It is to be expected that stoc... View full abstract»
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Modeling the Health Care Costs of Geriatric Inpatients
Publication Year: 2006, Page(s):526 - 532
Cited by: Papers (8)This paper extends a method for modeling the survival of patients in hospitals to allow the expected cost to be estimated for the patients' accumulated duration of time in care. An extension of Bayesian network (BN) theory has previously been developed to model patients' survival time in hospitals with respect to the graphical and probabilistic representation of the interrelationships between the ... View full abstract»
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Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis
Publication Year: 2006, Page(s):533 - 539
Cited by: Papers (4) | Patents (2)Inductive learning systems were successfully applied in a number of medical domains. Nevertheless, the effective use of these systems often requires data preprocessing before applying a learning algorithm. This is especially important for multidimensional heterogeneous data presented by a large number of features of different types. Dimensionality reduction (DR) is one commonly applied approach. T... View full abstract»
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Predicting High-Risk Preterm Birth Using Artificial Neural Networks
Publication Year: 2006, Page(s):540 - 549
Cited by: Papers (14) | Patents (1)A reengineered approach to the early prediction of preterm birth is presented as a complimentary technique to the current procedure of using costly and invasive clinical testing on high-risk maternal populations. Artificial neural networks (ANNs) are employed as a screening tool for preterm birth on a heterogeneous maternal population; risk estimations use obstetrical variables available to physic... View full abstract»
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Biological Data Warehousing System for Identifying Transcriptional Regulatory Sites From Gene Expressions of Microarray Data
Publication Year: 2006, Page(s):550 - 558
Cited by: Papers (1)Identification of transcriptional regulatory sites plays an important role in the investigation of gene regulation. For this propose, we designed and implemented a data warehouse to integrate multiple heterogeneous biological data sources with data types such as text-file, XML, image, MySQL database model, and Oracle database model. The utility of the biological data warehouse in predicting transc... View full abstract»
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Adaptive AR and Neurofuzzy Approaches: Access to Cerebral Particle Signatures
Publication Year: 2006, Page(s):559 - 566
Cited by: Papers (3)In recent years, a relationship has been suggested between the occurrence of cerebral embolism and stroke. Ultrasound has therefore become essential in the detection of emboli when monitoring cerebral vascular disorders and forms part of ultrasound brain-imaging techniques. Such detection is based on investigating the middle cerebral artery using a TransCranial Doppler (TCD) system, and analyzing ... View full abstract»
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Telemedicine Experience for Chronic Care in COPD
Publication Year: 2006, Page(s):567 - 573
Cited by: Papers (96)Information and telecommunication technologies are called to play a major role in the changes that healthcare systems have to face to cope with chronic disease. This paper reports a telemedicine experience for the home care of chronic patients suffering from chronic obstructive pulmonary disease (COPD) and an integrated system designed to carry out this experience. To determine the impact on healt... View full abstract»
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First-Pass Contrast-Enhanced Myocardial Perfusion MRI Using a Maximum Up-Slope Parametric Map
Publication Year: 2006, Page(s):574 - 580
Cited by: Papers (1)Magnetic resonance first-pass perfusion imaging offers a noninvasive method for the rapid, accurate, and reproducible assessment of cardiac function without ionizing radiation. Quantitative or semiquantitative analysis of changes in signal intensity (SI) over the whole image sequence yields a more efficient analysis than direct visual inspection. In this paper, a method to generate maximum up-slop... View full abstract»
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Cancer Risk Analysis in Families With Hereditary Nonpolyposis Colorectal Cancer
Publication Year: 2006, Page(s):581 - 587
Cited by: Papers (1)Colorectal cancer (CRC) is one of the most common fatal cancers in developed countries and represents a significant public-health issue. About 3%-5% of patients with CRC have hereditary nonpolyposis colorectal cancer (HNPCC). Cancer morbidity and mortality can be reduced if early and intensive screening is pursued. However, despite advances in screening, population-wide genetic screening for HNPCC... View full abstract»
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Shape Statistics Variational Approach for the Outer Contour Segmentation of Left Ventricle MR Images
Publication Year: 2006, Page(s):588 - 597
Cited by: Papers (15) | Patents (3)Segmentation of left ventricles is one of the important research topics in cardiac magnetic resonance (MR) imaging. The segmentation precision influences the authenticity of ventricular motion reconstruction. In left ventricle MR images, the weak and broken boundary increases the difficulty of segmenting the outer contour precisely. In this paper, we present an improved shape statistics variationa... View full abstract»
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A New Way for Multidimensional Medical Data Management: Volume of Interest (VOI)-Based Retrieval of Medical Images With Visual and Functional Features
Publication Year: 2006, Page(s):598 - 607
Cited by: Papers (23)The advances in digital medical imaging and storage in integrated databases are resulting in growing demands for efficient image retrieval and management. Content-based image retrieval (CBIR) refers to the retrieval of images from a database, using the visual features derived from the information in the image, and has become an attractive approach to managing large medical image archives. In conve... View full abstract»
Aims & Scope
The IEEE Transactions on Information Technology in Biomedicine publishes basic and applied papers of information technology applications in health, healthcare and biomedicine.
This Transaction ceased publication in 2012. The current retitled publication is IEEE Journal of Biomedical and Health Informatics.
Meet Our Editors
Editor-in-Chief
Yuan-ting Zhang
427, Ho Sin Hang Engineering Building, The Chinese
University of Hong Kong, Shatin, NT, Hong Kong
ytzhang@ee.cuhk.edu.hk
Phone:+852 2609-8458
Fax:+852 2609-5558